Application Development
Products people transact with, depend on and trust.
Web platforms, mobile apps, SaaS and connected devices, designed and engineered by one team. An AI-driven delivery loop takes the product from first commit to production, then keeps it improving.
Design and engineering in one team, on one loop. From first commit to production, then it keeps improving.
One app. Five layers deep.
What people see is the top plate. What keeps it fast, safe and running is underneath, and we build all of it.
- InterfaceWeb, mobile and device UI, design systems, accessibility and motion.
- API and integrationsVersioned REST and GraphQL APIs, payments, identity, webhooks, and the partner and legacy systems a product has to talk to.
- DataSchemas and transactional stores, search, caching, analytics events and the migrations that keep them honest.
- Cloud and infrastructureInfrastructure as code, containers, environments, CI/CD and scaling, with security and cost watched from day one.
- ObservabilityLogs, metrics, traces, alerting and performance budgets, so we see a problem before your customers do.
02Illustrative product · one API, one design system, every screen
One booking. Five surfaces.
- Web platformWhere the transaction starts. Responsive, fast, accessible and found by search.
- Mobile appNative feel on iOS and Android. Offline-aware, push-driven, in the pocket.
- WearableGlanceable moments on the wrist: haptics, sensors and the one thing that matters now.
- Kiosk and consoleShared, touch-first hardware in the physical world, built to survive real use.
- Admin and back officeThe operator's view: queues, roles, audit trails and reporting behind every screen.
The whole SDLC is AI-driven.
FinishLine is our agentic project management operating spine. It connects intent, planning, execution, evidence and delivery across the company, while specialist AI tools augment every discipline. People own the decisions; agents shorten the loop.
Brief
Requirements
Plan
Agentic planning
Design
Design systems
Build
AI-aided code
Review
Automated review
Release
Continuous delivery
Six disciplines, one team.
Designers, engineers and QA in the same squad, on the same loop.
- Web platforms and SaaSSaaS products, marketplaces, portals and dashboards built for real load. Server-rendered where it matters, typed end to end, multi-tenant when it needs to be.
- iOS, Android and cross-platformNative Swift and Kotlin when the device matters, React Native or Flutter when one codebase should serve both. We choose per product, not per habit.
- Product and interaction designResearch, flows, prototypes and design systems, made by designers who sit with the engineers, so what ships is what was designed.
- APIs and integrationsClean, versioned APIs and the unglamorous plumbing: payments, identity, ERPs, CRMs, hardware and the legacy systems nobody wants to touch.
- Cloud, DevOps and scaleInfrastructure as code, reproducible environments and pipelines that ship small changes often, with cost, security and uptime watched from the first deploy.
- QA and test automationTests written alongside features: unit, integration and end to end. AI agents widen the coverage, people own the judgement and the release gate.
Right tool, per product.
We pick the stack for the product, the team that will own it and the decade it has to last. These are the tools we reach for most, not a fixed stack.
Next.js, React, TypeScript, React Native, Swift, Kotlin, Flutter, Node.js, Go, Python, PostgreSQL, Redis, GraphQL, AWS, Google Cloud, Vercel, Docker, Kubernetes, Terraform, Playwright
Questions, answered.
Should we build for web, native mobile or cross-platform?
It depends on where your users are and what the product needs from the device. A responsive web platform reaches everyone fastest and is easiest to change. Native iOS and Android, in Swift and Kotlin, is the right call when performance, hardware access or platform feel matter most. Cross-platform frameworks such as React Native or Flutter suit products that need both stores from one codebase. Asymmetri recommends per product after discovery, and many products end up with a web platform, a mobile app and an admin back office sharing one API.
How long does it take to get to an MVP?
It depends on scope, integrations and how much is already decided. In discovery we agree the smallest first release that proves the product, then plan the work in short increments so you see working software early and often rather than at the end. Our AI-driven delivery loop shortens the time from decision to deployed code, but the honest answer comes from a scoped plan, which we give you before the build starts.
How does Asymmetri use AI in software delivery?
The whole software delivery lifecycle is AI-driven. FinishLine, our own agentic project management platform, connects requirements, planning, execution, evidence and delivery. Engineers and designers work with tools such as Claude Code, Codex, Cursor and Figma AI for planning, code, review and test generation, and GitHub Actions runs continuous delivery. People stay accountable for architecture, review and every release decision; AI shortens the loop around them.
Can you take over an existing codebase or product?
Yes. We start with a technical audit of the code, infrastructure, tests and delivery process, then share what is solid, what is risky and what to fix first. From there we stabilise, add tests and observability, and keep shipping features while we improve the foundations, so the product never has to stop for a rewrite.
How do we start working with Asymmetri on an application?
Get in touch through the contact page or at hey@asymmetri.in with the problem you are solving. We begin with a short discovery to frame the product, the users and the constraints, and come back with an approach, a first release and a team shape. Design and engineering then work as one team from the first commit to production and beyond.
Bring us the product.
We'll design it, build it and run it.